语境因素在电视广告中的应用研究

研究语境因素对于电视广告有着十分重要的意义 ,电视广告的成败很大程度上取决于语境因素的应用 ;语境因素中的三个方面在不同的电视广告中应有合理的表现 ;电视广告的交际模式包含了电视广告主和电视广告观众之间的双向交流 ,电视广告观众的语境因素对电视广告有一定的反作用。     

论企业文化传播的主受体二重性

文章运用传播学理论和企业文化理论 ,论述了企业文化传播的主受体二重性的问题。通过对企业文化传播中的主受体关系进行分析 ,提出了企业文化传播的内传播二重性和外传播二重性 ,及其主受体互换的观点。     

《红楼梦》两部英译本称谓翻译及其差异探究

文章通过对《红楼梦》两部英译本A Dream of Red Mansions和The Story of the Stone中称谓翻译的研究,探讨并说明《红楼梦》的两位译者之所以在称谓上采用不同的译法不仅仅因为两位译者不同的文化身份,而且还与译文的翻译目的、预期读者以及翻译环境有关.     

移动通信单向收费定价策略研究

随着移动通信业务的飞速发展,其收费模式和定价策略为世界各国所关注。本文从中国电信产业现状出发,对移动通信单向收费定价策略进行研究,结果表明:①网络外部性对移动通信市场有福利增加效果;②产业发展早期,可采取呼叫付费原则发展移动通信;③产业发展后期,可采取分离付费原则增加社会福利。     

限幅自保护高温超导接收机前端研究

提出了一种新型的、具有限幅自保护功能的新型高温超导高性能接收机前端系统方案。采用将高温超导限幅滤波器前置于低噪放进行混合集成,利用高温超导限幅滤波器优异的滤波和限幅特性实现同时具有高灵敏度和自保护功能的接收机前端。实验结果表明该滤波器可以有效地保护后端的低噪放不被烧毁或阻塞。采用超导-常规电路混合集成工艺研制而成的限幅自保护高温超导接收机前端具有优异的接收灵敏度,总噪声系数小于0.7dB。     

Detecting diagnostic accuracy of two biomarkers through a bivariate log-normal ROC curve

In biomedical research, two or more biomarkers may be available for diagnosis of a particular disease. Selecting one single biomarker which ideally discriminate a diseased group from a healthy group is confront in a diagnostic process. Frequently, most of the people use the accuracy measure, area under the receiver operating characteristic (ROC) curve to choose the best diagnostic marker among the available markers for diagnosis. Some authors have tried to combine the multiple markers by an optimal linear combination to increase the discriminatory power. In this paper, we propose an alternative method that combines two continuous biomarkers by direct bivariate modeling of the ROC curve under log-normality assumption. The proposed method is applied to simulated data set and prostate cancer diagnostic biomarker data set.     

叫卖语语用分析

叫卖是一种特殊的交际方式,叫卖者为交际活动的发端,而交际的对方是未知的,不确定的,其中,只有历经了受话人、参与者、买主三次身分转换的人,才能经历这样一轮交际活动的全过程.叫卖语是行业语的一种变体,无论从传达的信息及表达方式上,都不同于一般的行业语,它是小商贩的具有临时性、活动性的经营方式的产物.     

Sample Size and Power Calculation in Comparing Diagnostic Accuracy of Biomarkers with Pooled Assessments

When testing of a biomarker is costly, pooling of samples becomes a useful and efficient alternative (Faraggi et al., 2003). In this paper, we develop procedures for sample size and power calculations for planning a study comparing the accuracy of biomarkers in diagnosis of diseases with pooled samples. Explicit formulas are derived for several important pooling strategies. The effects of pooling samples on sample size and power of the test are also discussed.     

Optimal Composite Markers for Time‐Dependent Receiver Operating Characteristic Curves with Censored Survival Data

Abstract. To increase the predictive abilities of several plasma biomarkers on the coronary artery disease (CAD)‐related vital statuses over time, our research interest mainly focuses on seeking combinations of these biomarkers with the highest time‐dependent receiver operating characteristic curves. An extended generalized linear model (EGLM) with time‐varying coefficients and an unknown bivariate link function is used to characterize the conditional distribution of time to CAD‐related death. Based on censored survival data, two non‐parametric procedures are proposed to estimate the optimal composite markers, linear predictors in the EGLM model. Estimation methods for the classification accuracies of the optimal composite markers are also proposed. In the article we establish theoretical results of the estimators and examine the corresponding finite‐sample properties through a series of simulations with different sample sizes, censoring rates and censoring mechanisms. Our optimization procedures and estimators are further shown to be useful through an application to a prospective cohort study of patients undergoing angiography.